Building system with string mapping based on a sequence to sequence neural network

A method comprising:

• receiving, by one or more processing circuits, training data comprising a plurality of acronym strings and a plurality of tag strings, the plurality of acronym strings including a plurality of acronyms and the plurality of tag strings including the plurality of tags, wherein a string of the plurality of tag strings is a translation of one acronym string of the plurality of acronym strings, wherein the plurality of acronyms represent a plurality of entities of a building;
• training, by the one or more processing circuits, a sequence to sequence neural network based on the training data;
• receiving, by the one or more processing circuits, an acronym string for labeling, the acronym string comprising a particular plurality of acronyms;
• and
• generating, by the one or more processing circuits, a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

One or more non-transitory storage medium configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to:

• receive training data comprising a plurality of acronym strings and a plurality of tag strings, the plurality of acronym strings including a plurality of acronyms and the plurality of tag strings including a plurality of tags, wherein a string of the plurality of tag strings is a translation of one acronym string of the plurality of acronym strings;
• train a sequence to sequence neural network based on the training data;
• receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, a first acronym of the particular plurality of acronyms representing a building space and a second acronym of the particular plurality of acronyms representing piece of building equipment within the building space;
• and
• generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms, wherein a first tag of the tag string represents the building space and a second tag of the tag string represents the piece of building equipment.